MULTI-ANCESTRY GWAS OF GENERALIZED ANXIETY DISORDER IN THE MILLION VETERAN PROGRAM

Generalized anxiety disorder (GAD) remains underpowered in genetic studies relative to other psychiatric traits. We conducted a multi-ancestry genome-wide association study (GWAS) of GAD in the Million Veteran Program (MVP), including 42,130 cases and 580,993 controls across European (EUR), African (AFR), and admixed American (AMR) ancestry groups. SNP-based heritability was approximately 5% in both EUR and AFR cohorts, indicating comparable and detectable polygenic signal across ancestries. In EUR participants (30,371 cases; 414,334 controls), we identified two genome-wide significant loci, including signals in ESYT3 and near LRRIQ3, along with six additional loci at suggestive significance (P < 1 × 10-6). No genome-wide significant loci were identified in AFR or AMR analyses, consistent with reduced power in currently available non-European samples and underscoring the need for future efforts to prioritize recruitment and inclusion of underrepresented ancestry populations through ongoing large-scale collaborative initiatives. These findings demonstrate detectable polygenic liability for GAD across multiple ancestry groups, alongside differences in locus discovery that likely reflect variation in sample size and power. Increasing non-European representation will be critical for improving gene discovery, fine-mapping resolution, and generalizability of genetic findings for GAD.

Authors

Institutions

Publication Details

Journal
European Neuropsychopharmacology
Published
2026-09-21
DOI
https://doi.org/10.1016/j.euroneuro.2026.112947
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

MULTI-ANCESTRY GWAS OF GENERALIZED ANXIETY DISORDER IN THE MILLION VETERAN PROGRAM

Gelernter Joel, Murray Stein, Priya Gupta, Daniel Levey
European Neuropsychopharmacology
Genetic Associations and Epidemiology
article

MULTI-ANCESTRY GWAS OF GENERALIZED ANXIETY DISORDER IN THE MILLION VETERAN PROGRAM

Gelernter Joel, Murray Stein, Priya Gupta, Daniel Levey
article en

Abstract

Generalized anxiety disorder (GAD) remains underpowered in genetic studies relative to other psychiatric traits. We conducted a multi-ancestry genome-wide association study (GWAS) of GAD in the Million Veteran Program (MVP), including 42,130 cases and 580,993 controls across European (EUR), African (AFR), and admixed American (AMR) ancestry groups. SNP-based heritability was approximately 5% in both EUR and AFR cohorts, indicating comparable and detectable polygenic signal across ancestries. In EUR participants (30,371 cases; 414,334 controls), we identified two genome-wide significant loci, including signals in ESYT3 and near LRRIQ3, along with six additional loci at suggestive significance (P < 1 × 10-6). No genome-wide significant loci were identified in AFR or AMR analyses, consistent with reduced power in currently available non-European samples and underscoring the need for future efforts to prioritize recruitment and inclusion of underrepresented ancestry populations through ongoing large-scale collaborative initiatives. These findings demonstrate detectable polygenic liability for GAD across multiple ancestry groups, alongside differences in locus discovery that likely reflect variation in sample size and power. Increasing non-European representation will be critical for improving gene discovery, fine-mapping resolution, and generalizability of genetic findings for GAD.

European NeuropsychopharmacologyVol. 111
Yale University (US), Universidad Católica Santo Domingo (DO)
Reduced inequalities
Openalex Percentile: Top 11%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.